Fiction or Fact: Systematic Gender Differences in Financial investments? H O U S E H O L D F I N A N C E A N D M A C R O E C O N O M I C S C O N F E R E N C E B A N C O D E E S P A Ñ A , O C O T B E R 1 5 - 1 6 , 2 0 0 9 CHARLOTTE CHRISTIANSEN A A R H U S U N I V E R S I T Y JUANNA S. JOENSEN S T O C K H O L M S C H O O L O F E C O N O M I C S J ESP ER RANG VID C O P E N H A G E N B U S I N E S S S C H O O L
Previous literature Women hold less risky portfolios: Interpretation: Women are more risk averse. E.g. Jianakoplos & Bernasek ( EI 1998), Sundén & Surette ( AER 1998), Agnew, Balduzzi & Sundén ( AER 2003), Säve-Söderberg (2005), and Lyons and Yilmazer (2006). Women trade less with financial assets: Interpretaion: Men are overconfident. E.g. Barber & Odean ( QJE 2001), Agnew, Balduzzi & Sundén ( AER 2003), Niessen and Ruenzi (2006). Fiction or Fact? Christiansen, Joensen & Rangvid
In this paper, we... ....document that women unconditionally hold less risky portfolios. ....question whether women are more financially risk averse. Fiction or Fact? Christiansen, Joensen & Rangvid
2 stylized facts motivate our paper Differences between labor income and wealth profiles of men and women. Could possibly explain some of the observed differences between female and male investors . Existing studies on gender differences look only at investors who hold financial assets. Nonparticipants often excluded from the analysis. 51% of US households nonstockholders. 76% of European households nonstockholders. 75% of Danish adults nonstockholders. Fiction or Fact? Christiansen, Joensen & Rangvid
Research questions Are women’s seemingly lower propensity to invest in risky asset due to differences in background characteristics? Taking self-selection into account, do women hold less risky financial wealth portfolios? Fiction or Fact? Christiansen, Joensen & Rangvid
Overall results Using very detailed and comprehensive data, we find: Unconditionally , women seem to be more averse against taking on financial risk. Conditionally , women and men behave similarly on the bond and stock markets. Fiction or Fact? Christiansen, Joensen & Rangvid
Important point in paper We pay special attention to marital status: Previous literature find differences between married and single investors. E.g. Barber & Odean (2001), Sundén & Surette (1998). We look specifically at: Single women. Changes in behavior when changing marital status. Fiction or Fact? Christiansen, Joensen & Rangvid
Related analysis Related to Christiansen, Joensen & Rangvid ( RF 2008). Stock market behavior and education. Finding: Economists more likely to hold stocks (than otherwise identical investors). Fiction or Fact? Christiansen, Joensen & Rangvid
Outline of talk Introduction Data Financial market participation Portfolio riskiness Moving together – moving away from one another Conclusion Fiction or Fact? Christiansen, Joensen & Rangvid
Outline of talk Introduction Data Financial market participation Portfolio riskiness Moving together – moving away from one another Conclusion Fiction or Fact? Christiansen, Joensen & Rangvid
Data Data from Denmark. Register-based data set. Representative 10% sample of adult Danish population. Year-end information 1997-2004. Detailed information on background characteristics. 3,023,110 observations of individual investor decisions. Fiction or Fact? Christiansen, Joensen & Rangvid
Descriptive statistics Unconditionally , women participate less in the stock market: Men’s participation rate: 27% Women’s participation rate: 23% Unconditionally , women hold less risky portfolios: Men’s stock/financial wealth ratio: 31% Women’s stock/financial wealth ratio: 29% Unconditionally , women have lower holdings of stocks: Value of men’s stock holdings: DKK 32,945 Value of women’s stock holdings: DKK 27,136 Fiction or Fact? Christiansen, Joensen & Rangvid
Unconditional stock market participation rates Fiction or Fact? Christiansen, Joensen & Rangvid
Descriptive statistics But: Women also have lower income and wealth: Men’s average annual income: DKK 286,094 Women’s average annual income: DKK 200,034 Women’s pension contributions are lower: Men’s DKK 19,091 Women’s: DKK 12,574 More women live together with a child: Single men: 2% Single women: 11% Fiction or Fact? Christiansen, Joensen & Rangvid
Outline of talk Introduction Data Financial market participation Portfolio riskiness Moving together – moving away from one another Conclusion Fiction or Fact? Christiansen, Joensen & Rangvid
Dependent variable The participation decision: Stock market participation indicator. As stock and bond investments might be related, we also model the bond market behavior: Bond market participation indicator. Fiction or Fact? Christiansen, Joensen & Rangvid
Participation model Bivariate probit model for stock and bond participation: S 1 X it it S S it 1 B X it it B B it Error term vector: Independent over individuals and time. Standard normal distribution with correlation coefficient ρ . Marginal effects upon participation probabilities. Fiction or Fact? Christiansen, Joensen & Rangvid
Explanatory variables Gender Marital status Interaction (married male) Socioeconomic variables: Age, children, length of education, economist. Fiction or Fact? Christiansen, Joensen & Rangvid
Explanatory variables Financial variables: Noncapital income, cash holdings, equity in houses, pension contribution, lagged stock and bond participation indicators, lagged stock return. Second-moment variables: Standard deviations: growth in noncapital income, growth in equity in houses. Correlations: (noncapital income, stock return), (noncapital income, bond return), (equity in houses, stock return), (equity in houses, bond return), (equity in houses, noncapital income). Fiction or Fact? Christiansen, Joensen & Rangvid
Participation results Explanatory V ariable Stocks Bonds Constant -4.776 (0.105) * -5.501 (0.114) * Married -0.095 (0.013) * -0.255 (0.014) * Male -0.018 (0.015) -0.202 (0.016) * Married Male 0.075 (0.017) * 0.185 (0.019) * Age 0.007 (0.000) * 0.016 (0.000) * Children -0.039 (0.007) * -0.066 (0.009) * Length of Education 0.010 (0.001) * 0.027 (0.001) * Economist 0.283 (0.019) * 0.199 (0.020) * Log Noncapital Income 0.097 (0.009) * -0.009 (0.009) Lagged Stock Participation 2.330 (0.007) * 0.208 (0.008) * Lagged Bond Participation -0.013 (0.010) 2.115 (0.009) * Lagged Stock Return -0.428 (0.021) * 1.015 (0.024) * Cash Holdings 0.122 (0.003) * 0.108 (0.003) * Equity in Houses 0.055 (0.004) * 0.113 (0.004) * Pension Contribution 0.013 (0.003) * 0.023 (0.003) * St.Dev.(Growth Noncapital Income) 0.000 (0.000) 0.000 (0.000) Correlation (Noncapital Income; Stock Return) -0.007 (0.009) 0.009 (0.010) Correlation (Noncapital Income; Bond Return) -0.026 (0.010) * -0.006 (0.012) St.Dev. (Growth Equity in Houses) 0.000 (0.000) 0.000 (0.000) Correlation (Equity in Houses; Stock Return) 0.045 (0.009) * 0.004 (0.010) Correlation (Equity in Houses; Bond Return) 0.033 (0.009) * -0.009 (0.010) Correlation (Equity in Houses; Noncapital Income) -0.002 (0.008) 0.019 (0.009) * Correlation coefficient 0.301 (0.005)* Fiction or Fact? Christiansen, Joensen & Rangvid
Stock market participation results Married -0.095 (0.013) * Male -0.018 (0.015) Married Male 0.075 (0.017) * Age 0.007 (0.000) * Children -0.039 (0.007) * Length of Education 0.010 (0.001) * Economist 0.283 (0.019) * Log Noncapital Income 0.097 (0.009) * Lagged Stock Participation 2.330 (0.007) * Lagged Bond Participation -0.013 (0.010) Lagged Stock Return -0.428 (0.021) * Cash Holdings 0.122 (0.003) * Equity in Houses 0.055 (0.004) * Pension Contribution 0.013 (0.003) * Fiction or Fact? Christiansen, Joensen & Rangvid
Participation results Men do not have a stronger tendency to hold stocks. Negative effect from being married. Only married men have higher probability of holding stocks than single women. Overall, females are not less likely to hold stocks. Fiction or Fact? Christiansen, Joensen & Rangvid
Outline of talk Introduction Data Financial market participation Portfolio riskiness Moving together – moving away from one another Conclusion Fiction or Fact? Christiansen, Joensen & Rangvid
Heckman (1979) Selection Model We want to evaluate what investors hold more risky portfolios. Riskiness defined as stocks/assets. But we can also see the riskiness measure for those investors who actually do hold stocks. Use Heckman’s (1979) model. Fiction or Fact? Christiansen, Joensen & Rangvid
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